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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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systems, or large-scale data pipelines. Evidence of open-source software development, reproducible research practices, and successful interdisciplinary collaboration. Demonstrated record of scholarly
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at professional meetings. Contributes to large projects and/or leads smaller research projects. Meets regularly with mentor to discuss progress on research projects to identify and resolve any difficulties carrying
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will conduct advanced data analyses, design and manage controlled-environment experiments, and support the publication of research findings in peer-reviewed journals. Key Responsibilities Analyze
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swine or other large animal models in infectious disease research. Record of scientific productivity demonstrated through peer-reviewed publications, conference presentations, technical reports, or other
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offers opportunities to work collaboratively with experts in crop science, soil science, remote sensing, data analytics, and agricultural systems modeling. Primary Responsibilities Analyze large
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experimental design, statistical analysis, and big data analysis Proficiency with data analysis software (e.g., SAS, R) Demonstrated record of peer-reviewed publications and effective research communication